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Dear Fellow Investor,
One of the Fastest-Growing AI Markets Is Creating a $136 Billion Opportunity
The artificial intelligence boom is still accelerating, with no signs of slowing down.
Even after a historic run in AI-related stocks, the underlying adoption curve continues to steepen, because AI is moving from “pilot projects” into day-to-day workflows that measurably reduce costs, increase revenue, and improve customer experience.
And importantly for investors, this isn’t just about chipmakers and mega-cap platforms anymore. Some of the most compelling growth is happening in applied AI categories that sit directly in the path of corporate budgets, especially where the return on investment can be tracked in minutes saved, tickets resolved, sales completed, and customers retained.
One data point helps frame the scale: several major research firms now estimate the global AI market was already well above $200 billion in 2024, with projections that point to trillion-dollar potential over the coming decade as AI becomes embedded across industries. That expansion creates many “sub-markets” that can grow faster than AI overall, because they’re early in adoption and tied to clear business outcomes.
A breakout segment: Conversational AI
Within the broader AI ecosystem, one of the fastest-growing segments is conversational AI, the technology that enables natural, human-like interactions via voice or text (think advanced chatbots, voice assistants, and AI agents that can actually complete tasks).
Why is this market taking off now?
Because conversational AI sits at the intersection of three powerful forces:
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Customer expectations are rising. People want immediate answers and frictionless service across every channel: phone, app, chat, website, even in-car systems.
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Companies are under pressure to do more with less. Contact centers and customer support teams are expensive, difficult to staff, and often overwhelmed by repetitive questions.
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Technology has matured. Speech recognition, natural language processing, and agentic workflows are now good enough to deliver real outcomes, not just scripted responses.
As a result, market forecasts are becoming increasingly ambitious. Research and Markets, for example, projects conversational AI could grow from roughly $12.8 billion in 2025 to about $136.4 billion by 2035, a growth trajectory that underscores just how quickly this category is moving from “nice-to-have” to “mission-critical.”
In plain English: businesses are increasingly shifting away from traditional call-center models and toward AI-driven systems that can handle large volumes of inquiries around the clock and, in more advanced cases, execute actions (book appointments, place orders, update account details, route issues, and more).
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The real story: Conversational AI is becoming “voice commerce”
One of the most investable angles inside conversational AI is the transition from basic Q&A into voice commerce, where users can discover, decide, and complete transactions through natural speech.
That’s where things get interesting.
Voice commerce isn’t just a better interface; it’s a new distribution channel. If a company can become the “default” voice layer inside cars, restaurants, customer service lines, and enterprise workflows, it can sit directly in the flow of transactions, potentially capturing recurring software revenue while expanding into new verticals.
Company spotlight: SoundHound AI (SYM: SOUN)
A clear example of this trend is SoundHound AI (SYM: SOUN), a company focused on voice and conversational AI across real-world use cases, from restaurants to automotive and enterprise agents.
Most recently, SoundHound announced a partnership with OpenTable to launch a fully conversational, in-vehicle voice AI reservations agent as part of SoundHound’s in-car voice commerce platform.
Here’s why that matters: the new in-car AI agent enables drivers and passengers to find, select, and book restaurant reservations hands-free through natural voice commands inside a vehicle’s infotainment system. The system connects to OpenTable’s network of restaurants, checks availability, and completes the reservation in moments, turning what used to be a multi-step process into a single spoken interaction.
That type of integration is more than a product feature. It demonstrates how conversational AI is evolving into an embedded experience, one that can expand into additional services over time (ordering, payments, navigation, support, and more).
Wall Street has taken notice. In October 2025, H.C. Wainwright raised its price target on SoundHound (while maintaining a buy rating), and other firms have highlighted expanding demand for voice AI and a broadening enterprise footprint. As always, analyst targets are opinions, not guarantees, but they do reflect a growing focus on this segment.
More broadly, SoundHound has continued to build partnerships that show how voice AI can scale across industries. For instance, in late 2025 the company announced a rollout of an AI-powered phone ordering agent across all Red Lobster locations, another indicator that enterprises are moving from experiments to large deployments.
Investor takeaway: SoundHound represents a higher-volatility, higher-upside way to target conversational AI and voice commerce, but it’s also the type of name that can swing sharply with sentiment, execution, and valuation.
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Another way to play it: RingCentral (SYM: RNG)
Not every conversational AI opportunity is a pure-play “voice AI disruptor.” Another approach is to look at established business platforms where AI is being layered into communications and customer engagement.
That brings us to RingCentral (SYM: RNG), a global leader in AI-powered business communications. RingCentral recently announced its Customer Engagement Bundle for RingEX, emphasizing a future where unified communications and customer engagement converge, supported by AI that helps employees respond faster, work smarter, and deliver more consistent experiences.
In the company’s announcement, RingCentral noted that over a million users rely on RingEX as a lightweight contact center, enabling employees to respond to customers alongside everyday work, highlighting just how large this “every business becomes a contact center” trend may be.
Investor takeaway: RingCentral can be viewed as a more established, platform-oriented way to gain exposure to customer engagement and AI-driven communications—often with a different risk profile than smaller pure-plays.
Prefer diversification? Consider the Roundhill Generative AI & Technology ETF (SYM: CHAT)
If you want broader exposure to the AI buildout, without relying on any single company, an ETF can be a practical solution.
One option is the Roundhill Generative AI & Technology ETF (SYM: CHAT). The fund is actively managed, carries a 0.75% expense ratio, and positions itself as the world’s first generative AI ETF. It holds a basket of AI-related companies spanning infrastructure (chips, cloud), platforms, and software.
As of late 2025, its top holdings have included major AI ecosystem names such as Nvidia, Alphabet, Oracle, Meta Platforms, and Microsoft, the types of companies building and monetizing the foundational layers that many AI applications depend on.
Investor takeaway: CHAT offers a “portfolio approach” to the generative AI theme, useful for investors who want AI exposure but prefer to diversify single-stock risk.
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